Artificial Intelligence & ML
February 2026 Industrial AI/IoT & ICS Cybersecurity Events
This guide covered February 2026 events. For upcoming conferences, see the Industrial AI Events in May 2026: Conference Guide or browse the full IIoT World Events Calendar. February 2026 brings together a strong lineup of global…
Embracing AI-Driven Decision Making in Manufacturing
AI-driven decision making in manufacturing delivers measurable results when leadership commitment, operator trust, and incremental scaling align. In a conversation between Alec Glenn of JSW Steel USA and Karthikeyan Natarajan, Co-CEO of Infinite Uptime, concrete outcomes…
What Manufacturing Leaders Misjudged About AI in 2025
In 2025, manufacturers implemented AI across forecasting, logistics, and supplier risk scoring expecting breakthroughs, but a clear pattern emerged: AI improved awareness and decision support without eliminating uncertainty or delivering automatic resilience. Based on a panel…
AI May Be Ready for Manufacturing. But Is Manufacturing Ready for AI?
For the past few years, manufacturers have heard the same message on repeat: AI is ready for industry. But a quieter question is now being asked inside control rooms and boardrooms alike — is industry ready for AI?…
The AI Scaling Problem Nobody’s Solving: Why 140 Applications Delivered Zero Scale
An upstream oil company in Asia built 140 AI applications across 11 offshore assets. Every application was critical to operations. None of them scaled beyond the site where it was built. Jason Schern, Field CTO at…
From Predictive to Proactive: Key Takeaways from Cognite’s Impact 2025
How Industrial AI Is Transforming Operations, Workforce, and Decision-Making at Scale Cognite’s Impact 2025 made one thing clear: the era of reactive operations is over. Across both days, the narrative centered on proactive intelligence, powered by…
Building Trust in Autonomous AI for High-Stakes Manufacturing
At AI Frontiers 2025, the "Agentic AI in Manufacturing: From Copilots to Autonomous Systems" panel outlined five strategies for building operator and executive trust in autonomous AI across high-stakes factory environments where even minutes of unplanned…
Embedding AI Agents Into Industrial Data Pipelines: What Manufacturers Should Watch
AI agents embedded directly inside industrial data pipelines, rather than layered on top as analytics, are now operationally viable for manufacturers. At Cognite's 2025 event, SVP Laxmi Akkaraju outlined how this approach delivers autonomous root cause…
AI in Energy Is Growing Up: From Analytics to Real Operations
AI in energy has moved past dashboards and reports. According to Simon Williams, Chief AI Officer at ATELIC, industrial AI now detects equipment fatigue hours before failure, adjusts production flows automatically, and predicts energy demand shifts…
Building the Data Foundations for Agentic AI in Manufacturing
Agentic AI in manufacturing requires unified, low-latency data access across ERP, MES, and historian systems. According to Peter Sorowka of Cybus GmbH and Sebastian Trolli of Frost & Sullivan, data silos, missing metadata, and inconsistent architectures…
Agentic AI and IIoT: Complex Questions and Expert Perspectives
At AI Frontiers, the panel on Agentic AI & Integrated Data Workflows generated more questions than could be answered live. To continue the discussion, Andrew Scheuermann, CEO of Arch Systems, recorded a series of short video…
Industrial Copilots: From Assistants to Essential Team Members
Industrial copilots are AI assistants built for manufacturing, designed to collaborate with workers rather than replace them. At a German automotive plant, a deployed copilot retrieves answers from equipment manuals, shift reports, and fault data within…